 Polish macroeconomic indicators correlated-prediction with indicators of selected countriesA chapter in Proceedings of the 9th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena, 2015, vol. 1, pp 68-76 from Institute of Economic Research Abstract: The aim of this article is to provide an estimate of the unemployment rate on the basis of copyright model. Polish unemployment rate forecast, based on a model based on multiresolution analysis and selected macroeconomic indicators of different countries. A characteristic feature of the model is to divide the ranks into sub-series with the corresponding time-shifted and dependence prediction depend on other macroeconomic indicators of selected countries. The algorithm for the prediction of time series presenting macroeconomic indicators, based on neural networks and the wavelet analysis, wavelets Daubechies. However, the main feature of the algorithm is to divide the analyzed series into several partial under-series and prediction dependence of a number of other economic series with the appropriate sliding window of time. Keywords: macroeconomic indicators; wavelets; unemployment rate (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:pes:ecchap:22 Access Statistics for this chapter More chapters in Chapters from Institute of Economic Research Contact information at EDIRC. |
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